Update app.py

app.py

@@ -7,19 +7,22 @@ import gradio as gr
 openai.api_key =  os.environ.get('O_APIKey')
 Data_Read =  os.environ.get('Data_Reader')
 ChurnData =  os.environ.get('Churn_Data')
+ChurnData2 =  os.environ.get('Churn_Data2')
 
 #read data
 from llama_index import VectorStoreIndex, SimpleDirectoryReader, SummaryIndex, download_loader
 DataReader = download_loader(Data_Read)
 loader = DataReader()
 
-#loading options
-# loader = SimpleDirectoryReader(input_files = ["pdf1","pdf2"])
-# documents = loader.load_data()
-# or
-# documents = loader.load_data(file=['toolkit.pdf','pdf2','pdf3'])
-
+### 1st file
 documents = loader.load_data(file=ChurnData)
+### 1st file
+
+### 2nd file
+documents2 = loader.load_data(file=ChurnData2)
+documents = documents + documents2
+### 2nd file
+
 index = VectorStoreIndex.from_documents(documents)
 query_engine = index.as_query_engine()
 
@@ -27,5 +30,5 @@ def reply(message, history):
   answer = str(query_engine.query(message))
   return answer
 
-Conversing = gr.ChatInterface(reply, chatbot=gr.Chatbot(height="70vh"), retry_btn=None,theme=gr.themes.Monochrome(),
-                              title = 'E-Commerce BT/AN/CA/DH CMS Q&A', undo_btn = None, clear_btn = None, css='footer {visibility: hidden}').launch()
+Conversing = gr.ChatInterface(reply, chatbot=gr.Chatbot(height="70vh",label="Conversation"), retry_btn=None,theme=gr.themes.Monochrome(),
+                              title = 'E-Commerce BT/AN/CA/DH/VE/GA CMS Q&A', undo_btn = None, clear_btn = None, css='footer {visibility: hidden}').launch()